markdown-anything

What This Skill Does

The Markdown Anything skill for OpenClaw provides a robust, professional-grade pipeline for transforming virtually any file format into clean, structured Markdown. Whether you are dealing with complex academic PDFs, spreadsheet data in XLSX, presentations in PPTX, or even audio files and scanned images, this tool leverages the Markdown Anything API to bridge the gap between static documents and LLM-ready context. By converting proprietary or binary file formats into text-based Markdown, it allows you to feed deep context into your AI agents without worrying about formatting issues or character limitations inherent in raw document ingestion.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface: clawhub install openclaw/skills/skills/adiologydev/markdown-anything. After installation, navigate to your Markdown Anything workspace settings to generate your unique API token. You must set this token as an environment variable in your system: export MDA_API_TOKEN=mda_your_token_here. Once the token is configured, the mda-convert and mda-credits tools are immediately available for use within your agent workflows.

Use Cases

This skill is indispensable for professionals dealing with research and data synthesis. Use it to convert lengthy legal contracts, technical manuals, or white papers into structured text for analysis. It is particularly powerful for content creators who need to repurpose old slide decks or meeting notes into Markdown-based blog posts or documentation. Additionally, developers can use it to extract data from legacy spreadsheets or invoices, making the information searchable and indexable by LLMs. It is the perfect tool for any workflow that requires content extraction from heterogeneous data sources.

Example Prompts

1. "Convert the document at ./reports/q3_financials.pdf into Markdown so I can summarize the key takeaways."
2. "Extract the text from this meeting recording at ./audio/board_meeting.mp3 and format it as a clean transcript using Markdown headers."
3. "Please convert the presentation in ./slides/tech_architecture.pptx to Markdown and ensure metadata is included for my documentation library."

Tips & Limitations

For optimal results, use the MDA_ENHANCED_AI flag when dealing with hand-written notes or blurry scans, as it utilizes advanced OCR capabilities. If you are concerned about context window management, setting MDA_OPTIMIZE_TOKENS=true will help keep your LLM inputs concise. Note that this skill requires an active internet connection to communicate with the API and consumes credits per conversion. Always monitor your usage with mda-credits to avoid unexpected service interruptions during batch processing tasks.